Build Production Ready AI Agents on AWS-Bedrock,CrewAI & MCP
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Unclaimed ProfileThis comprehensive course on building production-ready AI agents on AWS provides developers and cloud engineers with the practical skills needed to design, deploy, and scale advanced autonomous systems. Created by Rahul Trisal, this hands-on curriculum guides learners through the core concepts of agentic AI, including planning, tool integration, persistent memory, and multi-agent collaboration. By utilizing cutting-edge tools like Amazon Bedrock, CrewAI, and the Model Context Protocol (MCP), students will build four distinct real-world projects. These include a robust Hotel Booking Agent integrated with AWS Lambda, an Enterprise Travel Agent using multi-agent orchestration, a Vacation Planner powered by CrewAI, and an innovative Infrastructure Coding Agent utilizing the AWS CloudFormation MCP Server. This program is ideal for software engineers, AI developers, and cloud architects who want to transition from basic prompt engineering to orchestrating complex, multi-agent architectures in enterprise AWS environments. Whether you are looking to master Bedrock Knowledge Bases or integrate Python, Boto3, and Amazon Q CLI into your AI workflows, this course delivers the specialized expertise required to succeed in modern generative AI development.
About the creator
Rahul Trisal
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Rahul Trisal is a dedicated cloud computing and artificial intelligence educator who specializes in bridging the gap between complex AWS architecture and practical, production-grade generative AI implementation. With a sharp focus on modern engineering paradigms, Rahul creates comprehensive technical curricula designed to empower developers to transition from theoretical understanding to hands-on deployment. His teaching philosophy centers on the integration of cutting-edge tools, such as Amazon Bedrock, LangChain, and CrewAI, into scalable workflows that solve real-world business challenges. By emphasizing architectural best practices, including the use of the AWS Cloud Development Kit (CDK), Rahul ensures his students do not just write…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
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What You'll Learn
- Learn fundamentals about AI Agents such as Planning, Tools, Memory and Multi-Agent Framework
- Deep Dive into Amazon Bedrock Agents - Learn about Amazon Bedrock Agents and Multi-Agent Orchestration Framework
- Build Use Case 1 - Hotel Booking Agent : Build a Hotel Booking Agent using Amazon Bedrock Agents, AWS Lambda and Amazon Bedrock Knowledge Bases
- Build Use Case 2 - Enterprise Travel Agent (Multi-Agent) : Build a Enterprise Travel Agent using Amazon Bedrock Multi-Agent Orchestration Framework.
- Build Use Case 3 - Vacation Planner AI App using CrewAI Framework and Bedrock
- Use Case 4 - Build an Infra Coding Agent using AWS MCP CloudFormation Server and Amazon Q CLI.
- Learn Basic Concepts of CrewAI
- Learn basics of Model Context Protocol (MCP) and build Coding Agent with AWS Cloudformation MCP Server and Amazon Q CLI
- Detailed Refresher on Generative AI, Amazon Bedrock, Prompt Engineering and Knowledge Bases
- Refresher on Basic Python, AWS Lambda and Boto3
Best For
- Software engineers looking to implement enterprise-grade agentic workflows on AWS
- Cloud architects aiming to integrate LLMs with existing infrastructure using Bedrock and MCP
- AI developers who want to move beyond simple chat interfaces to autonomous multi-agent systems
- Professionals familiar with Python and Boto3 seeking hands-on experience in AWS AI service orchestration
Not For
- Absolute beginners with no programming experience or familiarity with Python
- Data scientists focused strictly on model training and fine-tuning rather than application orchestration
- Individuals seeking a high-level conceptual overview without hands-on AWS coding or deployment
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